Fidelity Workplace Investing is seeking a Data Scientist to support initiatives around healthcare personalization and customization. You will lead data science projects at the intersection of machine learning and healthcare, working with business partners, data engineers, software developers, and other data scientists. You will be a subject matter expert, guiding artificial intelligence roadmaps and keeping up with the latest developments. The assignments may include exploratory analysis, feature engineering, experimentation, forecasting, numerical optimization, and real time scoring. Data Scientists in Fidelity Workplace Investments use sophisticated machine learning and optimization to deliver personalized experiences to our customers. Your work will help participants learn how to plan for their healthcare needs and financial future and prepare for impending life changes. Fidelity's growing healthcare business services employees of our clients with offerings such as a benefits administration platform for selecting and managing their benefits and a health savings account product for saving for medical expenses. Analytics permeates many aspects of the business to better the customer experience, from recommendations during open enrollment to streamlining backend operations. We deliver both internal digital tools and customer facing applications by leveraging a diverse set of healthcare and benefit related data sources. We employ a full spectrum of data science techniques - statistical analyses from epidemiology, predictive models from machine learning, and LLM are all part of the mix. We push the envelope of what's possible with advanced analytics to help people select, manage, and navigate their personalized healthcare benefits.